About
RhoFold+ is a deep learning model for accurately predicting RNA 3D structures from input sequences. It uses evolutionary information from MSA as well as embeddings from our pre-trained large RNA language model, RNA-FM. The work has been published in Nature Methods (full text available). This huggingface repository contains the data used for training the RhoFold model, which can be applied by filling in the form.
The full codes associated with the data are available at GitHub:
- Official repository: https://github.com/ml4bio/RhoFold
- Official protocol: https://github.com/WangJiuming/rhofold_protocol
Citation
If you use the data or model in your research, please cite our paper with the following.
@article{shen2024accurate,
title={Accurate RNA 3D structure prediction using a language model-based deep learning approach},
author={Shen, Tao and Hu, Zhihang and Sun, Siqi and Liu, Di and Wong, Felix and Wang, Jiuming and Chen, Jiayang and Wang, Yixuan and Hong, Liang and Xiao, Jin and others},
journal={Nature Methods},
pages={1--12},
year={2024},
publisher={Nature Publishing Group US New York}
}
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